5 citations · 11 across the 6 of their papers we have counts for
6 papers
High-Precision Fruit Localization Using Active Laser-Camera Scanning: Robust Laser Line Extraction for 2D-3D Transformation
Pengyu Chu, Zhaojian Li, Kaixiang Zhang +2
Recent advancements in deep learning-based approaches have led to remarkable progress in fruit detection, enabling robust fruit identification in complex environments. However, muc…
Active Laser-Camera Scanning for High-Precision Fruit Localization in Robotic Harvesting: System Design and Calibration
Kaixiang Zhang, Pengyu Chu, Kyle Lammers +2
Robust and effective fruit detection and localization is essential for robotic harvesting systems. While extensive research efforts have been devoted to improving fruit detection,…
O2RNet: Occluder-Occludee Relational Network for Robust Apple Detection in Clustered Orchard Environments
Pengyu Chu, Zhaojian Li, Kaixiang Zhang +3
Automated apple harvesting has attracted significant research interest in recent years due to its potential to revolutionize the apple industry, addressing the issues of shortage a…
Algorithm Design and Integration for a Robotic Apple Harvesting System
Kaixiang Zhang, Kyle Lammers, Pengyu Chu +3
Due to labor shortage and rising labor cost for the apple industry, there is an urgent need for the development of robotic systems to efficiently and autonomously harvest apples. I…
System Design and Control of an Apple Harvesting Robot
Kaixiang Zhang, Kyle Lammers, Pengyu Chu +2
There is a growing need for robotic apple harvesting due to decreasing availability and rising cost in labor. Towards the goal of developing a viable robotic system for apple harve…
DeepApple: Deep Learning-based Apple Detection using a Suppression Mask R-CNN
Pengyu Chu, Zhaojian Li, Kyle Lammers +2
Robotic apple harvesting has received much research attention in the past few years due to growing shortage and rising cost in labor. One key enabling technology towards automated…